Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Slicer | 1,339 | 5 months ago | 578 | other | C++ | |||||
Multi-platform, free open source software for visualization and image computing. | ||||||||||
Medicaldetectiontoolkit | 1,249 | 5 months ago | 44 | apache-2.0 | Python | |||||
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images. | ||||||||||
Learning Deep Learning | 943 | 7 months ago | 1 | Jupyter Notebook | ||||||
Paper reading notes on Deep Learning and Machine Learning | ||||||||||
Medmnist | 903 | 5 months ago | 7 | August 17, 2023 | 1 | apache-2.0 | Python | |||
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification | ||||||||||
Medicalzoopytorch | 896 | 2 years ago | 13 | mit | Python | |||||
A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation | ||||||||||
Slicergitsvnarchive | 883 | 4 years ago | 25 | other | C++ | |||||
Multi-platform, free open source software for visualization and image computing. | ||||||||||
Monailabel | 496 | 5 months ago | 114 | October 01, 2023 | 96 | apache-2.0 | Python | |||
MONAI Label is an intelligent open source image labeling and learning tool. | ||||||||||
Cascaded Fcn | 283 | 7 years ago | 7 | other | Jupyter Notebook | |||||
Source code for the MICCAI 2016 Paper "Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional NeuralNetworks and 3D Conditional Random Fields" | ||||||||||
Kiu Net Pytorch | 245 | 2 years ago | 8 | mit | Python | |||||
Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI | ||||||||||
Visvis | 215 | 18 | 6 | 2 years ago | 24 | December 15, 2022 | 9 | other | Python | |
Visvis - the object oriented approach to visualization |